Personal and Ubiquitous Computing
Chi Lin Dalian University of Technology, Dalian, China Chang Wu Yu, Chung Hua University, Hsinchu, Taiwan Ning Wang Rowan University, Glassboro, New Jersey, USA
Wireless communication has the potential to transform our lives - from enabling breakthroughs in scientific innovations to more effective personal communication.
The advent of 6G networks will plays a big role in creating the next generation of technology infrastructure and the convergence of technologies such as federated learning and High-Performance Computing (HPC) will being numerous benefits and industries are reinventing their practices to take advantage of the potential of 6G networks.
From chatbots to smart homes to robotic vehicles, advances in 6G has brought about an increasing demand for HPC and federated learning and also integrates technologies such as the Industrial Internet of Things (IIoT), Artificial Intelligence (AI), and cloud computing.
HPC and federated learning are interlinked and their convergence will drive innovations in 6G assisted wireless communication systems for many enterprises across many verticals. This convergence will not only make the networks smarter and faster, but also provide more accurate results and network management.
Topics of interest include but are not restricted to:
Advances in federated learning and HPC for 6G wireless networks HPC and federated learning unlocking the true potential of 6G networks Leveraging HPC and federated learning to drive innovations in 6G assisted wireless networks Federated HPC technology for 6G assisted applications Challenges, applications, and opportunities of converging federated learning and HPC for 6G networks Mobile network-based wireless modulation in 6G using federated learning and HPC Applications of 6G assisted federated learning for HPC based critical applications Federated learning meets HPC and 6G at the edge for future generation wireless communication systems Edge/IoT assisted 6G networks using federated learning HPC assisted federated optimisation for 6G networks Secure spectrum allocation in 6G networks using federated learning and HPC
Submissions: 25th October, 2022
Notification: 20th February, 2023
Revised Versions: 15th April, 2023
Final Decisions: 27th July, 2023
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